<html><head><title>DATA ENGINEER - Seattle, WA</title></head>
<body><h2>DATA ENGINEER - Seattle, WA</h2>
<li>Bachelor’s degree in Computer Science, MIS, related technical field, or equivalent work experience</li><li></li><li>At least 3 years of relevant work experience in analytics, data engineering, business intelligence or related field</li><li></li><li>Demonstrable ability in data modeling, ETL development, and Data warehousing, or similar skills</li><li></li><li>Demonstrable skills and experience using SQL with large data sets (e.g. Oracle, SQL Server, Redshift)</li><li></li><li>Experience with AWS technologies including Redshift, RDS, S3</li><li></li><li>Proven track record of successful communication of data infrastructure, data models, and data engineering solutions through written communication, including an ability to effectively communicate with both business and technical teams</li>
Are you interested in guiding key business decisions around one of Amazon’s most significant customer facing teams? Do you want to build a cutting-edge highly scalable analytics platform using AWS technologies such as Redshift, RDS, S3, EMR, ADP, Hive, Kinesis, SNS/SQS, and QuickSight? Do you want to collaborate with Business Intelligence (BI) and Data Science teams that leverage Tableau for self-service analytics and R for advanced analytics?<br/>
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The Recipient EXperience (REX) organization guarantees that the world is inspired to shop at Amazon because our delivery offers improve their lives, making the Earth’s largest selection available when, where and how they want it. The REX portfolio includes Prime shipping benefits, non-Prime free shipping, specialty programs for items that are unusually large/heavy (e.g. Scheduled Delivery) or unusually small and inexpensive (Add-on Items), programs that increase delivery convenience, incentives to choose delivery offers (e.g. No-Rush), and shipping prices.<br/>
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REX is looking for an experienced, self-driven, analytical, and strategic Sr. Data Engineer. In this role, you will be working in one of the world's largest and most complex data warehouse environments. You should be passionate about working with huge datasets and be someone who loves to bring data together to answer business questions. You should have deep expertise in creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with Business Intelligence Engineers (BIEs) and Data Scientists. In this role, you will have ownership of end-to-end development of data engineering solutions to complex questions and you’ll play an integral role in strategic decision-making.<br/>
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The right candidate will possess excellent business and communication skills, be able to work with business owners to develop and define key business questions, and be able to collaborate with BIEs and Data Scientists to analyze data that will answer those questions. You should have a solid understanding of how to build efficient and scalable data infrastructure and data models, and the desire to learn and implement Elastic MapReduce (EMR)-based solutions where appropriate.<br/>
Responsibilities<br/>
In this role, you will have the opportunity to display your skills in the following areas:<br/>
<ul><li>Design, implement, and support an analytical data infrastructure providing ad hoc access to large datasets and computing power</li><li>Managing AWS resources including EC2, RDS, Redshift, et cetera</li><li>Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies</li><li>Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency</li><li>Collaborate with Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation</li><li>Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning</li><li>Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers</li></ul>

<ul><li>Graduate degree in computer science, business, mathematics, statistics, economics, or other quantitative field</li><li></li><li>5+ years prior experience in a Data Engineer role with a technology company or financial institution</li><li></li><li>Both technically deep and business savvy enough to interface with all levels and disciplines within the organization</li><li></li><li>Demonstrated ability to coordinate projects across functional teams, including engineering, IT, product management, finance, and operations</li><li></li><li>Knowledge of Advanced SQL and scripting for automation (e.g. Python, Perl or Ruby)</li><li></li><li>Experience with AWS technologies including EMR, Kinesis</li><li></li><li>Experience with reporting tools like Tableau, Excel or other BI packages</li><li></li><li>Familiarity with statistical models and data mining algorithms</li><li></li><li>Familiarity with Linux</li><li></li><li>Experience with Hadoop or other map/reduce "big data" systems and services</li></ul>
Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation</body>
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